Jon McAuliffe
Jon McAuliffe
Professor (Adj.) of Statistics, University of California, Berkeley
Verified email at
Cited by
Cited by
Variational inference: A review for statisticians
DM Blei, A Kucukelbir, JD McAuliffe
Journal of the American Statistical Association 112 (518), 859-877, 2017
Supervised topic models
DM Blei, JD McAuliffe
Arxiv preprint arXiv:1003.0783, 2010
Convexity, classification, and risk bounds
PL Bartlett, MI Jordan, JD McAuliffe
Journal of the American Statistical Association 101 (473), 138-156, 2006
Phylogenetic shadowing of primate sequences to find functional regions of the human genome
D Boffelli, J McAuliffe, D Ovcharenko, KD Lewis, I Ovcharenko, L Pachter, ...
Science 299 (5611), 1391-1394, 2003
Candidate cell and matrix interaction domains on the collagen fibril, the predominant protein of vertebrates
SM Sweeney, JP Orgel, A Fertala, JD McAuliffe, KR Turner, GA Di Lullo, ...
Journal of Biological Chemistry 283 (30), 21187-21197, 2008
Time-uniform, nonparametric, nonasymptotic confidence sequences
SR Howard, A Ramdas, J McAuliffe, J Sekhon
The Annals of Statistics 49 (2), 1055-1080, 2021
Variational inference for large-scale models of discrete choice
M Braun, J McAuliffe
Journal of the American Statistical Association 105 (489), 324-335, 2010
Toward a protein profile of Escherichia coli: Comparison to its transcription profile
RW Corbin, O Paliy, F Yang, J Shabanowitz, M Platt, CE Lyons Jr, K Root, ...
Proceedings of the National Academy of Sciences 100 (16), 9232-9237, 2003
Nonparametric empirical Bayes for the Dirichlet process mixture model
JD McAuliffe, DM Blei, MI Jordan
Statistics and Computing 16 (1), 5-14, 2006
Sulfur and nitrogen limitation in Escherichia coli K-12: specific homeostatic responses
P Gyaneshwar, O Paliy, J McAuliffe, DL Popham, MI Jordan, S Kustu
Journal of bacteriology 187 (3), 1074-1090, 2005
Time-uniform Chernoff bounds via nonnegative supermartingales
SR Howard, A Ramdas, J McAuliffe, J Sekhon
Probability Surveys 17, 257-317, 2020
Multiple-sequence functional annotation and the generalized hidden Markov phylogeny
JD McAuliffe, L Pachter, MI Jordan
Bioinformatics 20 (12), 1850-1860, 2004
Lessons from Escherichia coli genes similarly regulated in response to nitrogen and sulfur limitation
P Gyaneshwar, O Paliy, J McAuliffe, A Jones, MI Jordan, S Kustu
Proceedings of the National Academy of Sciences 102 (9), 3453-3458, 2005
Cataloging the visible universe through Bayesian inference in Julia at petascale
J Regier, K Fischer, K Pamnany, A Noack, J Revels, M Lam, S Howard, ...
Journal of Parallel and Distributed Computing, 2019
Rao-Blackwellized stochastic gradients for discrete distributions
R Liu, J Regier, N Tripuraneni, M Jordan, J Mcauliffe
International Conference on Machine Learning, 4023-4031, 2019
Celeste: Variational inference for a generative model of astronomical images
J Regier, A Miller, J McAuliffe, R Adams, M Hoffman, D Lang, D Schlegel, ...
Proceedings of the 32nd International Conference on Machine Learning, 2015
Fast black-box variational inference through stochastic trust-region optimization
J Regier, MI Jordan, J McAuliffe
Advances in Neural Information Processing Systems, 2402-2411, 2017
Long-and short-term selective forces on malaria parasite genomes
S Nygaard, A Braunstein, G Malsen, S Van Dongen, PP Gardner, A Krogh, ...
PLoS Genet 6 (9), e1001099, 2010
Machine learning in low-level microarray analysis
BIP Rubinstein, J McAuliffe, S Cawley, M Palaniswami, ...
ACM SIGKDD Explorations Newsletter 5 (2), 130-139, 2003
GLAD: a mixed-membership model for heterogeneous tumor subtype classification
H Saddiki, J McAuliffe, P Flaherty
Bioinformatics 31 (2), 225-232, 2015
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